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Remote Data Transformation Jobs (NOW HIRING)

ICF

Data Engineer (Remote)

Glen Dale, WV · Remote

$96K - $116K/yr

Apply data transformation logic (e.g., DataWeave) and troubleshoot integration/data flow issues ... Remote Office (US99)

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

Expert SQL abilities with mastery in complex data transformation patterns. * Deep expertise in data ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Apex Informatics

Data Engineer

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT ... transformation tools § Experience in Mulesoft API § Nice to have: Kafka, Tableau • Strong ...

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT ... Experience in Data Build Tool ( DBT ) or similar data transformation tools * Experience in Mulesoft ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

Expert SQL abilities with mastery in complex data transformation patterns. * Deep expertise in data ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Dtn

Sr. Data Engineer

$117K - $140K/yr

Experience with ETL processes, SQL development, and data transformation workflows * Experience ... Remote work model (position dependent) * Competitive Medical, Dental and Vision Insurance Plans ...

Bestow, Inc

Senior Data Analyst

$115K - $135K/yr

Bestow offers flexible remote/hybrid work, meaningful benefits, equity, and substantial growth ... Use SQL, dbt, CI/CD, Github, and Google Cloud to automate data transformation pipelines that flow ...

New

Apex Informatics

Senior Data Engineer - AI/ML

$117K - $140K/yr

Title: Sr Data Engineer Remote Required Skills & Qualifications • Strong experience in data ... data transformation and modeling • Familiarity with AWS/GCP and distributed/event-driven ...

DTN

Sr. Data Engineer

$117K - $140K/yr

Experience with ETL processes, SQL development, and data transformation workflows * Experience ... Remote work model (position dependent) * Competitive Medical, Dental and Vision Insurance Plans ...

IDEX

Data Analyst, Finance

Lakeville, MA · On-site +1

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

IDEX

Data Analyst, Finance

West Henrietta, NY · On-site +1

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

Centstone

Database Architect

Minneapolis, MN · Remote

$65.25 - $84/hr

Minnesota (Remote/Hybrid) Experiance : 8+ years We are seeking an experienced Azure Database ... Design and implement ETL/data transformation solutions. * Configure and optimize Azure SQL ...

Expleo

Data Product Manager

Saint Paul, MN · On-site +1

$89 - $95/hr

Location: Fully Remote (Must be located within the United States) Client Location: St. Paul ... Lead a large-scale data transformation initiative focused on modernizing legacy systems and ...

Expleo

Data Product Manager

Saint Paul, MN · On-site +1

$89 - $95/hr

Fully Remote (Must be located within the United States) Client Location: St. Paul, Minnesota Are ... Lead a large-scale data transformation initiative focused on modernizing legacy systems and ...

IDEX

Data Analyst, Finance

Oak Harbor, WA · On-site +1

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

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Remote Data Transformation information

What is a remote data transformation?

A Remote Data Transformation job involves converting, cleaning, and organizing data from one format or structure to another, all while working from a remote location. Professionals in this role use various tools and programming languages, such as SQL, Python, or ETL platforms, to ensure data is accurate, consistent, and usable for analytics or business processes. They often collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality transformed datasets. This role is crucial for organizations that rely on data-driven decision-making and need to integrate information from multiple sources.

What are the key skills and qualifications needed to thrive as a remote data transformation specialist?

A Remote Data Transformation Specialist needs strong analytical abilities, proficiency in data management, and a solid understanding of databases and data modeling, often supported by a degree in computer science, information systems, or related fields. Familiarity with ETL (Extract, Transform, Load) tools, SQL, and cloud-based data platforms like AWS or Azure is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving skills, attention to detail, and effective remote communication are vital soft skills for collaborating with distributed teams. These competencies ensure accurate, efficient data processing and integration, which are crucial for data-driven decision-making in modern organizations.

What are some common challenges faced in a remote data transformation role and how can they be addressed?

In a remote data transformation role, common challenges include managing large data sets across multiple platforms, ensuring data quality, and maintaining clear communication with distributed teams. Working remotely can make it harder to quickly clarify requirements or spot inconsistencies, so adopting strong documentation practices and regular check-ins are essential. Utilizing collaborative tools for version control, data sharing, and workflow management helps streamline processes and reduce errors. Proactively communicating progress and blockers with cross-functional teams ensures alignment and timely project delivery.

What is the difference between Remote Data Transformation vs Remote Data Analyst?

AspectRemote Data TransformationRemote Data Analyst
Primary RoleDesigning, developing, and implementing data transformation processesAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsSQL, ETL tools, data modeling, scripting languagesExcel, SQL, data visualization tools, statistical knowledge
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, analytics teams, reporting platforms
Industry UsageData engineering, software development, cloud servicesBusiness intelligence, marketing, finance

Remote Data Transformation specialists focus on creating and managing data pipelines and transforming raw data into usable formats. In contrast, Remote Data Analysts interpret data to generate insights and support strategic decisions. Both roles require strong technical skills, but their core responsibilities differ in focus and output.

More about Remote Data Transformation jobs

What cities are hiring for Remote Data Transformation jobs?

Cities with the most Remote Data Transformation job openings:

What are the most commonly searched types of Data Transformation jobs?

The most popular types of Data Transformation jobs are:

What states have the most Remote Data Transformation jobs?

States with the most job openings for Remote Data Transformation jobs include:

What job categories do people searching Remote Data Transformation jobs look for?

The top searched job categories for Remote Data Transformation jobs are:

Remote Data Transformation jobs near you
Infographic showing various Remote Data Transformation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Senior Data Engineer Python ETL (Data Quality, Spark/Databricks)

IL • Remote

MSR Technology Group
See more jobs at MSR Technology Groupexternal

$117K - $140K/yr

Full-time

Posted 18 days ago

Job description

Senior Data Engineer – Python ETL (Data Quality, Spark/Databricks)

Remote - US Based

Overview
We are seeking a hands-on Senior Data Engineer (ETL / Python Developer) to support an enterprise data warehouse and analytics program within a regulated healthcare environment. This role focuses on designing, building, and modernizing large-scale data ingestion and transformation pipelines that support analytics, reporting, and compliance-driven data initiatives.
The ideal candidate has strong Python-based data engineering experience and deep exposure to enterprise ETL environments, including legacy modernization and cloud-based platforms. This is a delivery-focused engineering role, not a QA or orchestration-only position.

Key Responsibilities
• Design, develop, and maintain enterprise ETL pipelines supporting large-scale data platforms
• Build and optimize Python-based data transformation logic (data A → B implemented in Python)
• Develop scalable data processing solutions using Spark and Databricks
• Support enterprise analytics and regulated reporting initiatives
• Implement data validation, reconciliation, and audit-traceable pipelines
• Write and optimize complex SQL across enterprise data platforms (Snowflake, Oracle, SQL Server, Teradata)
• Participate in legacy ETL modernization initiatives (e.g., Informatica or shell to Python conversions)
• Support cloud-based data architectures within Azure environments
• Collaborate with architects, analysts, QA, and reporting teams to ensure data quality and accuracy
• Participate in CI/CD, code reviews, and source control using Azure DevOps and GitHub
• Support production operations, incident resolution, and root-cause analysis

Required Qualifications
• 5+ years of enterprise data engineering experience
• 5+ years of hands-on ETL development (Informatica PowerCenter, Azure Data Factory, or similar tools)
• 5+ years of Python development focused on data engineering and transformation logic
• 3+ years of Spark-based processing (Databricks or equivalent)
• Strong SQL expertise across large relational databases
• Experience working in regulated, audit-sensitive environments
• Strong analytical, troubleshooting, and problem-solving skills
• Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or related field

Preferred Qualifications
• Experience supporting large enterprise data warehouse environments
• Healthcare or public-sector data experience preferred
• Experience with data quality frameworks and reconciliation processes
• Scripting experience (PowerShell or Bash)
• Experience designing or consuming REST APIs
• Cloud-based data engineering experience in Azure
• Azure data or analytics certifications

Work Environment
This role is fully remote within the continental U.S. Occasional travel to Springfield, IL may be required based on project needs.

Onboarding: This role will require a background check and drug screen.